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9780130922069

Decision Support Systems

by
  • ISBN13:

    9780130922069

  • ISBN10:

    0130922064

  • Edition: 2nd
  • Format: Paperback
  • Copyright: 2003-01-01
  • Publisher: Prentice Hall
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List Price: $216.53

Summary

Packed with essential information, this valuable volume helps future business management professionals learn to make and support managerial decisions, providing a thorough understanding of the support aspect of DSS. Written from a cognitive processes and decision-making perspective, it concentrates on issues that emphasize managerial applications and the implication of decision support technology on those issues.The volume examines data warehouses, intelligent software agents and DSS system development, as well as an introduction to decision support systems, decision in the organization, modeling decision processes, group decision support and groupware technologies, executive information systems, expert systems and artificial intelligence, knowledge engineering and acquisition, and data mining and data visualization.For Data Warehouse Administrators, CIO and Directors of Information Systems.

Table of Contents

Preface xv
Introduction to Decision Support Systems
1(31)
DSS Defined
3(3)
History of Decision Support Systems
6(2)
Ingredients of a DSS
8(2)
Data and Model Management
10(6)
DSS Knowledge Base
16(3)
User Interfaces
19(3)
The DSS User
22(2)
Categories and Classes of DSSs
24(5)
Chapter Summary
29(3)
Decisions and Decision Makers
32(53)
Decision Makers: Who Are They?
35(6)
Decision Styles
41(4)
Decision Effectiveness
45(4)
How Can a DSS Help?
49(1)
Why Are Decisions So Hard?
50(3)
A Typology of Decisions
53(3)
Decision Theory and Simon's Model of Problem Solving
56(3)
Rational Decision Making
59(1)
Bounded Rationality
60(3)
The Process of Choice
63(2)
Cognitive Processes
65(4)
Biases and Heuristics in Decision Making
69(9)
Effectiveness and Efficiency
78(1)
Chapter Summary
79(6)
Decisions in the Organization
85(16)
Understanding the Organization
88(3)
Organizational Culture
91(3)
Power and Politics
94(3)
Supporting Organizational Decision Making
97(1)
Chapter Summary
98(3)
Modeling Decision Processes
101(38)
Defining the Problem and Its Structure
103(10)
Decision Models
113(7)
Types of Probability
120(4)
Techniques for Forecasting Probabilities
124(5)
Calibration and Sensitivity
129(3)
Chapter Summary
132(7)
Group Decision Support and Groupware Technologies
139(33)
Group Decision Making
141(6)
The Problem with Groups
147(4)
MDM Support Technologies
151(14)
Managing MDM Activities
165(3)
The Virtual Workplace
168(1)
Chapter Summary
169(3)
Executive Information Systems
172(32)
What Exactly Is an EIS?
174(3)
Some EIS History
177(1)
Why Are Top Executives So Different?
177(7)
EIS Components
184(3)
Making the EIS Work
187(6)
The Future of Executive Decision Making and the EIS
193(3)
Chapter Summary
196(8)
Expert Systems and Artificial Intelligence
204(32)
The Concept of Expertise
207(2)
The Intelligence of Artificial Intelligence
209(9)
The Concepts and Structure of Expert Systems
218(4)
Designing and Building Expert Systems
222(3)
Evaluating the Benefits of Expert Systems
225(3)
Chapter Summary
228(8)
Knowledge Engineering and Acquisition
236(22)
The Concept of Knowledge
239(4)
Knowledge Acquisition for Expert Systems
243(10)
Validating and Verifying the Knowledge Base
253(2)
Chapter Summary
255(3)
Machines That Can Learn
258(34)
Fuzzy Logic and Linguistic Ambiguity
261(5)
Artificial Neural Networks
266(8)
Genetic Algorithms and Genetically Evolved Networks
274(8)
Applications of Machines That Learn
282(3)
Chapter Summary
285(7)
The Data Warehouse
292(31)
Stores, Warehouses, and Marts
295(8)
The Data Warehouse Architecture
303(4)
Data Have Data---The Metadata
307(3)
Interviewing the Data---Metadata Extraction
310(2)
Implementing the Data Warehouse
312(3)
Data Warehouse Technologies
315(1)
The Future of Data Warehousing
316(4)
Chapter Summary
320(3)
Data Mining and Data Visualization
323(58)
A Picture Is Worth a Thousand Words
326(3)
Online Analytical Processing
329(4)
Techniques Used to Mine the Data
333(7)
Market Basket Analysis: The King of DM Algorithms
340(10)
Current Limitations and Challenges to Data Mining
350(1)
Data Visualization: ``Seeing'' the Data
351(7)
Siftware Technologies
358(6)
Chapter Summary
364(17)
Appendix
375(6)
Designing and Building the Data Warehouse
381(40)
The Enterprise Model Approach to Data Warehouse Design
383(3)
The Data Warehouse Project Plan
386(20)
Specifying the Analysis and Design Tools
406(5)
Warehouse Architecture Specification and Development
411(5)
Data Warehouse Project Success Factors
416(1)
Chapter Summary
417(4)
The Systems Perspective of a DSS
421(27)
What Is a System?
424(5)
DSS in the Context of Information Systems
429(3)
Information Quality Issues in DSS Design
432(7)
Defining the DSS Information System Architecture
439(3)
The Role of the Internet in DSS Development and Use
442(3)
Chapter Summary
445(3)
Designing and Building Decision Support Systems
448(28)
Strategies for DSS Analysis and Design
450(11)
The DSS Developer
461(4)
Tools for DSS Development
465(4)
DSS User Interface Issues
469(2)
Chapter Summary
471(5)
Implementing and Integrating Decision Support Systems
476(25)
DSS Implementation
478(5)
System Evaluation
483(11)
The Importance of Integration
494(3)
Chapter Summary
497(4)
Creative Decision Making and Problem Solving
501(27)
What Is Creativity?
504(1)
Creativity Defined
505(1)
The Occurrence of Creativity
506(9)
Creative Problem-Solving Techniques
515(9)
Creativity and the Role of Technology
524(1)
Chapter Summary
525(3)
Intelligent Software Agents, Bots, Delegation, and Agency
528(45)
A World of Delegation and Agency
530(6)
What Is an Intelligent Software Agent?
536(7)
Classification of Intelligent Software Agents
543(8)
Intelligent Software Agents in E-Business
551(6)
Designing and Deploying Intelligent Software Agents
557(11)
The Future of Intelligent Software Agents
568(2)
Chapter Summary
570(3)
Decision Support in the Twenty-First Century
573(18)
Where We Are and Where We Have Been
574(2)
The Future of Decision Support Systems
576(2)
The Future of Expert and Artificial Intelligence Systems
578(3)
The Future of Executive Information Systems
581(1)
The Future of Intelligent Software Agents and Delegation
582(5)
Some Final Thoughts on the Future of DSS Technologies
587(3)
Chapter Summary
590(1)
Appendix A Decision Style Inventory III 591(4)
References 595(8)
Index 603

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